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Research on compaction behavior of traditional Chinese medicine compound extract powders based on unsupervised learning
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Ying FANG1, 2, Yan-long HONG2, 3, Xiao LIN2, 4, Lan SHEN2, 4, *, Li-jie ZHAO1, 2, *
Acta Pharmaceutica Sinica | 2025, 60(2) : 506 - 513
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Acta Pharmaceutica Sinica | 2025, 60(2): 506-513
• Original Articles •
Research on compaction behavior of traditional Chinese medicine compound extract powders based on unsupervised learning
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Ying FANG1, 2, Yan-long HONG2, 3, Xiao LIN2, 4, Lan SHEN2, 4, *, Li-jie ZHAO1, 2, *
Affiliations
  • 1. Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 2. Engineering Research Center of Modern Preparation Technology of Traditional Chinese Medicine of Ministry of Education, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 3. Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
  • 4. School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
Published: 2025-02-12 doi: 10.16438/j.0513-4870.2024-0996
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Direct compression is an ideal method for tablet preparation, but it requires the powder's high functional properties. The functional properties of the powder during compression directly affect the quality of the tablet. 15 parameters such as Py, FES-8KN, FES-12KN, FES-16KN, CR-8KN, CR-12KN, and CR-16KN were used as the characteristic variables in this paper. Unsupervised learning methods like principal component analysis, cluster analysis, and factor analysis were applied to analyze and classify the compression behavior data of 36 traditional Chinese medicine powders. The results showed that both different dimensionality reduction classification methods could effectively differentiate the compression behavior characteristics of 36 traditional Chinese medicine compound powders. The hierarchical cluster analysis results showed a better agreement with the actual compression phenomena of the powders, where group 1 was high elasticity and low compressibility, group 2 was easily compressed and hard to break, group 3 was excellent compressibility and compactibility. This study is expected to provide references and ideas for predicting the behavior of traditional Chinese medicine powders and the screening of tablet formulations.

tablet  /  compression behavior  /  principal component analysis  /  cluster analysis  /  factor analysis  /  unsupervised learning
Ying FANG, Yan-long HONG, Xiao LIN, Lan SHEN, Li-jie ZHAO. Research on compaction behavior of traditional Chinese medicine compound extract powders based on unsupervised learning[J]. Acta Pharmaceutica Sinica, 2025 , 60 (2) : 506 -513 . DOI: 10.16438/j.0513-4870.2024-0996
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Article Info
doi: 10.16438/j.0513-4870.2024-0996
  • Receive Date：2024-10-16
  • Online Date：2025-11-07
  • Published：2025-02-12
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History
  • Received：2024-10-16
  • Revised：2024-12-31
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Affiliations
    1. Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    2. Engineering Research Center of Modern Preparation Technology of Traditional Chinese Medicine of Ministry of Education, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    3. Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
    4. School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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